Description
Condition: BRAND NEW
ISBN: 9781118596302
Year: 2013
Publisher: John Wiley & Sons (UK)
Pages: 426
Description:
Hospitals monitoring is becoming more complex and is increasing
both because staff want their data analysed and because of
increasing mandated surveillance. This book provides a suite
of functions in R, enabling scientists and data analysts working in
infection management and quality improvement departments in
hospitals, to analyse their often non-independent data which is
frequently in the form of trended, over-dispersed and sometimes
auto-correlated time series; this is often difficult to analyse
using standard office software.
This book provides much-needed guidance on data analysis using R
for the growing number of scientists in hospital departments who
are responsible for producing reports, and who may have limited
statistical expertise.
This book explores data analysis using R and is aimed at
scientists in hospital departments who are responsible for
producing reports, and who are involved in improving safety.
Professionals working in the healthcare quality and safety
community will also find this book of interest
Statistical Methods for Hospital Monitoring with R:
Provides functions to perform quality improvement and infection
management data analysis.
Explores the characteristics of complex systems, such as
self-organisation and emergent behaviour, along with their
implications for such activities as root-cause analysis and the
Pareto principle that seek few key causes of adverse events.
Provides a summary of key non-statistical aspects of hospital
safety and easy to use functions.
Provides R scripts in an accompanying web site enabling
analyses to be perfo
ISBN: 9781118596302
Year: 2013
Publisher: John Wiley & Sons (UK)
Pages: 426
Description:
Hospitals monitoring is becoming more complex and is increasing
both because staff want their data analysed and because of
increasing mandated surveillance. This book provides a suite
of functions in R, enabling scientists and data analysts working in
infection management and quality improvement departments in
hospitals, to analyse their often non-independent data which is
frequently in the form of trended, over-dispersed and sometimes
auto-correlated time series; this is often difficult to analyse
using standard office software.
This book provides much-needed guidance on data analysis using R
for the growing number of scientists in hospital departments who
are responsible for producing reports, and who may have limited
statistical expertise.
This book explores data analysis using R and is aimed at
scientists in hospital departments who are responsible for
producing reports, and who are involved in improving safety.
Professionals working in the healthcare quality and safety
community will also find this book of interest
Statistical Methods for Hospital Monitoring with R:
Provides functions to perform quality improvement and infection
management data analysis.
Explores the characteristics of complex systems, such as
self-organisation and emergent behaviour, along with their
implications for such activities as root-cause analysis and the
Pareto principle that seek few key causes of adverse events.
Provides a summary of key non-statistical aspects of hospital
safety and easy to use functions.
Provides R scripts in an accompanying web site enabling
analyses to be perfo